Linux on Azure—a Strange Place to Find a Penguin
Linux enthusiasts might think the idea of running a Linux virtual machine on Microsoft's Azure service is like finding a penguin sun tanning in the Sahara. Linux in the heart of the Microsoft cloud? Isn't that just wrong on so many levels?
Why would anyone want to run Linux on Microsoft servers? For the hobbyist, I suppose for the same reason people climb Mount Everest: because it's there. For the business user, the prospect of spinning up Linux VMs in Microsoft's fabric offers new options for collocating open-source technologies with existing Microsoft Azure services. For the cloud market in general, more competition is good news for consumers.
The Cloud Marketplace
Virtual machines in the form of virtual private servers (VPSes) have been offered for nearly a decade from a galaxy of providers, using virtualization technologies such as Xen, Virtuozzo/OpenVZ and KVM. These providers subdivide a physical server into multiple small virtual servers. Users typically subscribe on a monthly basis, with an allotment of memory, disk and network bandwidth.
Later vendors, such as Amazon, Rackspace and now Microsoft, offer the same service with a finer-grained commitment. Users can spin up a VM (or a hundred) by the hour, pay for bandwidth by the gigabyte and utilize more advanced features, such as private networks, SAN-like storage features, offloaded database engines and so on.
All of this diversity is good news for end users. In 2002, a VPS with 128MB cost nearly $100/month. In 2006, you could get a VPS with 512MB of RAM for $40/month. Today, such VPSes can be found for less than $5/month in the VPS market or for pennies per hour from cloud providers.
Microsoft Enters the Market
Amazon enjoyed early success with its Elastic Compute Cloud and other vendors, such as Rackspace, soon followed suit. Microsoft originally opted for a different, more complex cloud strategy. Azure was built as a "platform as a service" offering (see the Cloud Flavors sidebar) in which developers could write applications that ran in various roles and talked to Azure APIs. In theory, this allowed developers to concentrate on code and not worry about the abstracted hardware underneath.
In practice, developers were forced to write Azure-centric applications and adoption was slow. Many enterprises with mixed Windows/Linux environments found that hosting their own self-managed servers on Amazon and other cloud environments was more attractive than spending time porting and debugging their applications.
In 2012, Microsoft added "infrastructure as a service" (virtual machines) offerings to its lineup, allowing users to run and administer Windows and Linux virtual machines they directly control.
Azure virtual machines are still in "Community Preview", which is Microsoft lingo for "Beta". Support is limited to forums, and as you'll see, some sandpapering of the offering is still needed. However, after using the service for a couple months, I find Linux on Azure to be stable, easy to use and performs well. At the time of this writing, Microsoft has not set a date for General Availability.
Cloud-based services come in several different forms, depending on what's being abstracted and provisioned.
Software as a Service (SaaS): the provider runs an application and exposes an interface to subscribers. This is simply using a Web-based application. Examples include Salesforce.com, NetSuite and 37 Signals' Basecamp.
Platform as a Service (PaaS): the provider offers a platform that users can use to build applications. Subscribers write and provide code, which runs on abstracted hardware and software services. Examples include Microsoft's Azure original offerings, Oracle's Fusion cloud or Google's App Engine.
Infrastructure as a Service (IaaS): the provider delivers virtual machines and other infrastructure pieces that users can configure as they like. Examples include Amazon's EC2, Rackspace Cloud, Google Compute and Microsoft's Azure. Virtual Private Servers also are IaaS offerings with a different financial model.
Comparing Azure to Amazon EC2
Azure's chief competition is Amazon EC2, and it's not hard to see that Microsoft patterned its IaaS offering after its rival's success.
Like EC2, Azure is priced by the hour, and the rates are similar. While in Community Preview, pricing is slightly discounted compared to expected General Availability pricing. Actual price comparisons for hourly VMs depend on how long a term commitment is made. For example, Amazon offers both spot instances and prepaid reserved instances, while Microsoft also discounts longer-term commitments. Storage and bandwidth pricing are very similar. In general, running a VM on Azure will cost you about the same as EC2, which is probably just what Microsoft planned.
EC2 offers features Microsoft has not caught up to yet. For example, the underlying storage virtual machine disk (Elastic Block Storage) can be snapshotted to S3 storage. However, many Amazon services have parallels in the Azure world. For example, Amazon's SimpleDB is analogous to Azure's Tables. Both vendors offer complex networking features, caching, monitoring and Content Delivery Network options. In either environment, a VM can be sited in the Americas, Europe or Asia, with global CDN nodes.
The Azure value proposition is not "we are a better cloud" but rather "you can do EC2-like things here alongside your Azure platforms". For shops that have deep Microsoft deployments, were early adopters of Azure or want to develop applications that move into and out of Azure, the new IaaS offerings will be appealing.
Andrew Fabbro is a senior technologist living in the Portland, Oregon, area. He's used Linux since Slackware came on floppies and presently works for Con-way, a Fortune 500 transportation company.
Pick up any e-commerce web or mobile app today, and you’ll be holding a mashup of interconnected applications and services from a variety of different providers. For instance, when you connect to Amazon’s e-commerce app, cookies, tags and pixels that are monitored by solutions like Exact Target, BazaarVoice, Bing, Shopzilla, Liveramp and Google Tag Manager track every action you take. You’re presented with special offers and coupons based on your viewing and buying patterns. If you find something you want for your birthday, a third party manages your wish list, which you can share through multiple social- media outlets or email to a friend. When you select something to buy, you find yourself presented with similar items as kind suggestions. And when you finally check out, you’re offered the ability to pay with promo codes, gifts cards, PayPal or a variety of credit cards.Get the Guide
- Goldtouch Semi-Vertical Mouse
- My Childhood in a Cigar Box
- Let's Go to Mars with Martian Lander
- Applied Expert Systems, Inc.'s CleverView for TCP/IP on Linux
- Papa's Got a Brand New NAS
- VMware's Clarity Design System
- Transferring Conserver Logs to Elasticsearch
- Panther MPC, Inc.'s Panther Alpha
- Linux Journal January 2017